Geometry-Aware Face Completion and Editing
1. Motivation 傳統方法要求圖像中的塊之間存在相似性； 人臉有很明顯的幾何特徵，幾何信息的先驗知識很重要； 如何在模型中實現對人臉的編輯。 2. Approach 2.1 Network architecture Network architecture 整體的網絡框架如上圖所示，分爲三部分：面部幾何信息的估計，生成器和判別器。 Facial geometry estimator 網絡
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相關文章
- 1. Generative Face Completion
- 2. RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces論文閱讀筆記
- 3. SC-FEGAN: Face Editing Generative Adversarial Network with User’s Sketch and Color
- 4. A Measurement-Based Skin Reflectance Model for Face Rendering and Editing
- 5. A. Omkar and Completion
- 6. SaGAN:Generative Adversarial Network with Spatial Attention for Face Attribute Editing
- 7. Learning disentangling and fusing networks for face completion under structured occlusions
- 8. codeforces A. Omkar and Completion
- 9. Learning Oracle Attention for High-fidelity Face Completion
- 10. GAN人臉修復--Generative Face Completion